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bird-house · Sep 7, 2018 · cdaf464 · cdaf464
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diff --git a/docs/source/birdhouse.bib b/docs/source/birdhouse.bib
@@ -11,3 +11,47 @@ @article{hempelmann2018
 AUTHOR = {N. Hempelmann and C. Ehbrecht and C. Alvarez-Castro and P. Brockmann and W. Falk and J. Hoffmann and S. Kindermann and B. Koziol and C. Nangini and S. Radanovics and R. Vautard and P. Yiou},
 keywords = {Web processing service, Climate impact, Extreme weather events, Birdhouse, OGC}
 }
+
+@book{Jung2017,
+  Title                    = {Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA)},
+  Doi                      = {10.5445/KSP/1000071931},
+  Editor                   = {Jung, Christopher and Meyer, J{\"{o}}rg and Streit, Achim},
+  ISBN                     = {978-3-7315-0695-9},
+  Keywords                 = {Big Data, Data Science, Datenlebenszyklus, Datenmanagement, Datenanalyse,{\convertToLaTeXASCII{U+D}}{\convertToLaTeXASCII{U+A}}Big Data, data science, data life cycle, data management, data analysis},
+  Language                 = {english},
+  Note                     = {46.12.02; LK 01},
+  Pagetotal                = {259},
+  Publisher                = {{KIT Scientific Publishing, Karlsruhe}},
+  Year                     = {2017}
+}
+
+
+@ARTICLE{Jung2014,
+  author = {C. Jung and M. Gasthuber and A. Giesler and M. Hardt and J. Meyer
+	and F. Rigoll and K. Schwarz and R. Stotzka and A. Streit},
+  title = {Optimization of data life cycles},
+  journal = {Journal of Physics: Conference Series},
+  year = {2014},
+  volume = {513},
+  pages = {032047},
+  number = {3},
+  abstract = {Data play a central role in most fields of science. In recent years,
+	the amount of data from experiment, observation, and simulation has
+	increased rapidly and data complexity has grown. Also, communities
+	and shared storage have become geographically more distributed. Therefore,
+	methods and techniques applied to scientific data need to be revised
+	and partially be replaced, while keeping the community-specific needs
+	in focus. The German Helmholtz Association project "Large Scale Data
+	Management and Analysis" (LSDMA) aims to maximize the efficiency
+	of data life cycles in different research areas, ranging from high
+	energy physics to systems biology. In its five Data Life Cycle Labs
+	(DLCLs), data experts closely collaborate with the communities in
+	joint research and development to optimize the respective data life
+	cycle. In addition, the Data Services Integration Team (DSIT) provides
+	data analysis tools and services which are common to several DLCLs.
+	This paper describes the various activities within LSDMA and focuses
+	on the work performed in the DLCLs.},
+  owner = {nils},
+  timestamp = {2016.06.07},
+  url = {http://stacks.iop.org/1742-6596/513/i=3/a=032047}
+}
diff --git a/docs/source/publications.rst b/docs/source/publications.rst
@@ -28,7 +28,7 @@ Articles, book sections and conference proceedings and presentations related to
 
 2017:
 
-* `Birdhouse in LSDMA book, 2017 <https://publikationen.bibliothek.kit.edu/1000071931>`_
+* `Birdhouse in LSDMA book, 2017 <https://publikationen.bibliothek.kit.edu/1000071931>`_ :cite:`Jung2017`
 * `UNCCC Subgroup 2017 in Kigali <https://github.com/nilshempelmann/presentations/blob/master/birdhouse-UNFCCC/CCNUCC_Kigali2017.pdf>`_
 
 2016:
@@ -49,9 +49,10 @@ Articles, book sections and conference proceedings and presentations related to
 2014:
 
 * `EGI Community Forum 2014 at Helsinki <https://indico.egi.eu/indico/event/1994/session/23/contribution/134>`_
-EGI Community Forum 2014 ...
+EGI Community Forum 2014 :cite:`HEMPELMANN2014`
 
 * Prag
+* Optimization of data life cycles :cite:`Jung2014`
 
 2013: